Abstract
SearchSleuth is a program developed to experiment with the automated local analysis of Web search using formal concept analysis. SearchSleuth extends a standard search interface to include a conceptual neighborhood centered on a formal concept derived from the initial query. This neighborhood of the concept derived from the search terms is decorated with its upper and lower neighbors representing more general and specialized concepts respectively. In SearchSleuth, the notion of related categories – which are themselves formal concepts – is also introduced. This allows the retrieval focus to shift to a new formal concept called a sibling. This movement across the concept lattice needs to relate one formal concept to another in a principled way. This paper presents the issues concerning exploring and ordering the space of related categories.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Carpineto, C., Romano, G.: Exploiting the potential of concept lattices for information retrieval with credo. Journal of Universal Computer Science 10(8), 985–1013 (2004)
Koester, B.: FooCA - Web Information Retrieval with Formal Concept Analysis. Diploma, Technische Universität Dresden (2006)
Koester, B.: Conceptual knowledge processing with google. In: Contributions to ICFCA 2006, pp. 178–183 (2005)
Ducrou, J., Eklund, P.: Searchsleuth: the conceptual neighbourhood of an internet query. In: 5th International Conference on Concept Lattices and Their Applications (CLA 2007), pp. 249–260 (2007), http://www.CEUR-WS.Vol-331.Ducrou.pdf
Kim, M., Compton, P.: Formal Concept Analysis for Domain-Specific Document Retrieval Systems. In: Australian Joint Conference on Artificial Intelligence, pp. 237–248 (2001)
Kim, M., Compton, P.: The perceived utility of standard ontologies in document management for specialized domains. International Journal of Human-Computer Studies 64(1), 15–26 (2006)
Ducrou, J., Vormbrock, B., Eklund, P.: FCA-based Browsing and Searching of a Collection of Images. In: Schärfe, H., Hitzler, P., Øhrstrøm, P. (eds.) ICCS 2006. LNCS (LNAI), vol. 4068, pp. 203–214. Springer, Heidelberg (2006)
Ducrou, J., Eklund, P.: Faceted document navigation using conceptual structures. In: Hitzler, P., Schärf, H. (eds.) Conceptual Structures in Practice, pp. 251–278. CRC Press, Boca Raton (2008)
Ducrou, J., Eklund, P.: An intelligent user interface for browsing and search mpeg-7 images using concept lattices. International Journal of Foundations of Computer Science 19(2), 359–381 (2008)
Lengnink, K.: Ahnlichkeit als Distanz in Begriffsverbänden. In: Stumme, G., Wille, R. (eds.) Begriffliche Wissensverarbeitung: Methoden und Anwendungen, pp. 57–71. Springer, Heidelberg (2001)
Saquer, J., Deogun, J.S.: Concept aproximations based on rough sets and similarity measures. Int. J. Appl. Math. Comput. Sci. 11, 655–674 (2001)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dau, F., Ducrou, J., Eklund, P. (2008). Concept Similarity and Related Categories in SearchSleuth. In: Eklund, P., Haemmerlé, O. (eds) Conceptual Structures: Knowledge Visualization and Reasoning. ICCS 2008. Lecture Notes in Computer Science(), vol 5113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70596-3_18
Download citation
DOI: https://doi.org/10.1007/978-3-540-70596-3_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70595-6
Online ISBN: 978-3-540-70596-3
eBook Packages: Computer ScienceComputer Science (R0)